Learning-based license plate detection in vehicle image database

  • Authors:

  • Huaifeng Zhang;Wenjing Jia;Xiangjian He;Qiang Wu

  • Affiliations:

  • Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia.;Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia.;Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia.;Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia

  • Venue:
  • International Journal of Intelligent Information and Database Systems
  • Year:
  • 2007

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Abstract

This paper proposes a learning-based algorithm to detect license plates of vehicles from vehicle image database. There are three main contributions in this paper. The first contribution is to define a novel vertical edge map, which makes the image processing more effectively. The second contribution is to propose a learning-based cascade classifier composing of two kinds of sub-classifiers, which makes the system very robust. The third contribution is to experimentally estimate the parameter of scaling factor and chose an optimal one for the algorithm to seek a good balance between detection rate and processing time.